4.5 Article

Molecular diagnosis of diffuse glioma using a chip-based digital PCR system to analyze IDH, TERT, and H3 mutations in the cerebrospinal fluid

期刊

JOURNAL OF NEURO-ONCOLOGY
卷 152, 期 1, 页码 47-54

出版社

SPRINGER
DOI: 10.1007/s11060-020-03682-7

关键词

Cerebrospinal fluid; Chip-based digital PCR; Diffuse glioma; ctDNA; Liquid biopsy

资金

  1. Japanese Society for the Promotion of Science (KAKENHI) [20K09392, 19K17673, 18K08970, 17K16652, 16K10779, 15K15529]
  2. Fujita Memorial Fund for Medical Research [GAKF800362]
  3. Ichiro Kanehara Foundation for the Promotion of Medical Sciences and Medical Care [GAKF800381]
  4. Grants-in-Aid for Scientific Research [18K08970, 15K15529, 17K16652, 19K17673, 20K09392] Funding Source: KAKEN

向作者/读者索取更多资源

The study demonstrated a novel non-invasive molecular diagnostic method for diffuse glioma using a chip-based digital PCR system targeting ctDNA derived from CSF, showing high sensitivity and specificity, particularly for high-grade gliomas.
Purpose Conventional genetic analyzers require surgically obtained tumor tissues to confirm the molecular diagnosis of diffuse glioma. Recent technical breakthroughs have enabled increased utilization of cell-free tumor DNA (ctDNA) in body fluids as a reliable resource for molecular diagnosis in various cancers. Here, we tested the application of a chip-based digital PCR system for the less invasive diagnosis (i.e., liquid biopsy) of diffuse glioma using the cerebrospinal fluid (CSF). Methods CSF samples from 34 patients with diffuse glioma were collected from the surgical field during craniotomy. Preoperative lumbar CSF collection was also performed in 11 patients. Extracted ctDNA was used to analyze diagnostic point mutations in IDH1 R132H, TERT promoter (C228T and C250T), and H3F3A (K27M) on the QuantStudio(R) 3D Digital PCR System. These results were compared with their corresponding tumor DNA samples. Results We detected either of the diagnostic mutations in tumor DNA samples from 28 of 34 patients. Among them, we achieved precise molecular diagnoses using intracranial CSF in 20 (71%). Univariate analyses revealed that the World Health Organization (WHO) grade (p = 0.0034), radiographic enhancement (p = 0.0006), and Mib1 index (p = 0.01) were significant predictors of precise CSF-based molecular diagnosis. We precisely diagnosed WHO grade III or IV diffuse gliomas using lumbar CSF obtained from 6 (87%) of 7 patients with tumors harboring any mutation. Conclusion We established a novel, non-invasive molecular diagnostic method using a chip-based digital PCR system targeting ctDNA derived from CSF with high sensitivity and specificity, especially for high-grade gliomas.

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